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AI for students lesson 23: Design a tiny AI project · Set 966 · 40 questions
TalentJR

AI tip (Accuracy = correct ÷ total × 100): Steps: 1 choose a problem → 2 collect examples → 3 label them → 4 check and correct bad labels (clean the data) → 5 split into training and test sets → 6 train → 7 test with new examples → 8 measure accuracy → 9 improve the data and retest. Accuracy = correct ÷ total × 100. Wrong = total − correct. Expected right = accuracy ÷ 100 × total. Keep some examples apart for testing (for example one fifth); the rest are for training.

NameDateTime takenScore ___ / 40
  1. 1.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
  2. 2.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 17 right and Model B got 12 right. How many percentage points more accurate is Model A?
  3. 3.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
  4. 4.📦 Rohan collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  5. 5.🎯 Meera’s recycling sorter was tested on 20 new waste photos and got 12 right. What is its accuracy in percent?
  6. 6.📦 Arjun collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  7. 7.❌ Tara’s spam spotter was tested on 45 new messages and got 44 right. How many did it get wrong?
  8. 8.❌ Aarav’s spam spotter was tested on 13 new messages and got 10 right. How many did it get wrong?
  9. 9.🎯 Saanvi’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
  10. 10.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
  11. 11.🎯 Meera’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
  12. 12.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
  13. 13.🎯 Aarav’s bird-song app was tested on 25 new bird songs and got 25 right. What is its accuracy in percent?
  14. 14.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
  15. 15.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
  16. 16.🎯 Rohan’s handwriting reader is 70% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
  17. 17.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
  18. 18.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
  19. 19.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
  20. 20.❌ Nisha’s handwriting reader was tested on 20 new handwritten letters and got 19 right. How many did it get wrong?
  21. 21.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
  22. 22.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
  23. 23.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 44 right. What is its accuracy in percent?
  24. 24.🎯 Nisha’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
  25. 25.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
  26. 26.🎯 Kabir’s bird-song app is 80% accurate. If it is tested on 10 new bird songs, how many should it get right?
  27. 27.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
  28. 28.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
  29. 29.📦 Tara collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  30. 30.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
  31. 31.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
  32. 32.🎯 Tara’s leaf identifier was tested on 50 new leaf photos and got 45 right. What is its accuracy in percent?
  33. 33.🎯 Ananya’s fruit sorter was tested on 50 new fruit photos and got 41 right. What is its accuracy in percent?
  34. 34.📦 Diya collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  35. 35.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
  36. 36.🎯 Tara’s fruit sorter is 90% accurate. If it is tested on 90 new fruit photos, how many should it get right?
  37. 37.❌ Diya’s recycling sorter was tested on 46 new waste photos and got 41 right. How many did it get wrong?
  38. 38.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 23 right and Model B got 19 right. How many percentage points more accurate is Model A?
  39. 39.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
  40. 40.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples

Answer key

  1. let it learn patterns
  2. 25
  3. let it learn patterns
  4. 56
  5. 60
  6. 96
  7. 1
  8. 3
  9. 50
  10. train the model
  11. 80
  12. paper and examples
  13. 100
  14. calculate percent right
  15. to see if it learned
  16. 21
  17. pick a question to solve
  18. correct ÷ total × 100
  19. work out the accuracy
  20. 1
  21. collect fruit photos
  22. collect fruit photos
  23. 88
  24. 80
  25. collect fruit photos
  26. 8
  27. split train and test
  28. 8
  29. 40
  30. 20
  31. correct bad labels
  32. 90
  33. 82
  34. 80
  35. correct bad labels
  36. 81
  37. 5
  38. 16
  39. 5
  40. more labelled examples

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